Papers with classifying opinion pieces
Understanding BERT performance in propaganda analysis (D19-50)
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| Challenge: | Despite the challenging nature of the shared task, our pretrained BERT model scored 0.62 F1 on the test set and ranked third among 25 teams who participated in the contest. |
| Approach: | They propose to use a dataset to fine-tune a model for propaganda analysis at sentence level to determine whether a text is 'propaganda' and to examine false-positive cases. |
| Outcome: | The proposed model scored 0.62 F1 on the test set and ranked third among 25 teams who participated in the shared task. |